Evidence map›Paper›PMID 35488214›Full record

SynthesisBMC pregnancy and childbirth2022

Assessment of evidence on reported non-genetic risk factors of congenital heart defects: the updated umbrella review.

Xiaolu Nie, Xiaohang Liu, Chen Wang, Zehao Wu, Zimo Sun, Jian Su, Ruohua Yan, Yaguang Peng, Yuxuan Yang, Chengrong Wang and 6 more

Abstract readSystematic Review
In one paragraph

Synthesis in BMC pregnancy and childbirth, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  14. Discovery ofBiology · 2023
    Article
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  16. Considering the Genetic Architecture of Hypoplastic Left Heart Syndrome.Journal of cardiovascular development and disease · 2022
    Article
  17. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Xiaolu NieCenter for Clinical Epidemiology and Evidence-based Medicine, Beijing Children's Hospital, Capital Medical University, National Center for Children Health, No.56 Nanlishi Road, Xicheng District, Beijing, 100045, China.
Xiaohang LiuCenter for Clinical Epidemiology and Evidence-based Medicine, Beijing Children's Hospital, Capital Medical University, National Center for Children Health, No.56 Nanlishi Road, Xicheng District, Beijing, 100045, China.
Chen WangCenter for Clinical Epidemiology and Evidence-based Medicine, Beijing Children's Hospital, Capital Medical University, National Center for Children Health, No.56 Nanlishi Road, Xicheng District, Beijing, 100045, China.
Zehao WuCenter for Clinical Epidemiology and Evidence-based Medicine, Beijing Children's Hospital, Capital Medical University, National Center for Children Health, No.56 Nanlishi Road, Xicheng District, Beijing, 100045, China.
Zimo SunCenter for Clinical Epidemiology and Evidence-based Medicine, Beijing Children's Hospital, Capital Medical University, National Center for Children Health, No.56 Nanlishi Road, Xicheng District, Beijing, 100045, China.
Jian SuCenter for Clinical Epidemiology and Evidence-based Medicine, Beijing Children's Hospital, Capital Medical University, National Center for Children Health, No.56 Nanlishi Road, Xicheng District, Beijing, 100045, China.
Ruohua YanCenter for Clinical Epidemiology and Evidence-based Medicine, Beijing Children's Hospital, Capital Medical University, National Center for Children Health, No.56 Nanlishi Road, Xicheng District, Beijing, 100045, China.
Yaguang PengCenter for Clinical Epidemiology and Evidence-based Medicine, Beijing Children's Hospital, Capital Medical University, National Center for Children Health, No.56 Nanlishi Road, Xicheng District, Beijing, 100045, China.
Yuxuan YangSchool of Public Health, Capital Medical University, Beijing, 100069, China.
Chengrong WangDepartment of Scientific research, Beijing Obstetrics and Gynecology Hospital, Capital Medical University. Beijing Maternal and Child Health Care Hospital, Beijing, 100026, China.
Siyu CaiCenter for Clinical Epidemiology and Evidence-based Medicine, Beijing Children's Hospital, Capital Medical University, National Center for Children Health, No.56 Nanlishi Road, Xicheng District, Beijing, 100045, China.
Yali LiuCenter for Clinical Epidemiology and Evidence-based Medicine, Beijing Children's Hospital, Capital Medical University, National Center for Children Health, No.56 Nanlishi Road, Xicheng District, Beijing, 100045, China.
Huanling YuDepartment of Nutrition and Food Hygiene, School of Public Health, Capital Medical University, Beijing, 100069, China.
Qingqing WuDepartment of Ultrasound, Beijing Obstetrics and Gynecology Hospital, Capital Medical University. Beijing Maternal and Child Health Care Hospital, Beijing, 100026, China.
Xiaoxia Peng *Center for Clinical Epidemiology and Evidence-based Medicine, Beijing Children's Hospital, Capital Medical University, National Center for Children Health, No.56 Nanlishi Road, Xicheng District, Beijing, 100045, China. pengxiaoxia@bch.com.cn.
Chenghong Yin *Department of Internal Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University. Beijing Maternal and Child Health Care Hospital, No.251 Yaojiayuan Road, Chaoyang District, Beijing, 100026, China. yinchh@ccmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCongenital heart defect (CHD) is the leading cause of birth defects globally, which results in a great disease burden. It is still imperative to detect the risk factors of CHD. This umbrella review aimed to comprehensively summarize the evidence and grade the evidence of the associations between non-genetic risk factors and CHD.

methodsDatabases including Medline, Embase, Web of Science, Cochrane Library, and four Chinese databases were searched from inception to 18 Jan 2022. The reference lists of systematic reviews (SR) and meta-analyses (MA) were screened, which aimed to explore the non-genetic risk factors of CHD. Subsequently, titles and abstracts of identified records and full texts of selected SR/MA were screened by two independent reviewers based on predefined eligibility criteria. A priori developed extraction form was used to abstract relative data following the PRISMA 2020 and MOOSE guidelines. The risk of bias was assessed with the AMSTAR2 instrument. Data were synthesized using fixed-effects and random-effects meta-analyses, respectively. Finally, the evidence on the association of non-genetic risk factors and CHD was graded using Ioannidis's five-class evidence grade.

resultsA total of 56 SRs, encompassing 369 MAs, were identified. The risk factors included relative factors on air pollution, reproductive-related factors, parental age and BMI, parental life habits, working and dwelling environment, maternal drug exposure, and maternal disease. Based on AMSTAR2 criteria, only 16% (9/56) of SRs were classified as "Moderate". One hundred and two traceable positive association MAs involving 949 component individual studies were included in further analysis and grading of evidence. Family genetic history, number of abortions, maternal obesity, especially moderate or severe obesity, decoration materials, harmful chemicals, noise during pregnancy, folic acid supplementation, SSRIs, SNRIs, any antidepressants in the first trimester, maternal DM (including both PGDM and GDM), and gestational hypertension were convincing and highly suggestive factors for CHD. After sensitivity analyses based on cohort studies, some grades of evidence changed.

conclusionThe present umbrella review will provide evidence-based information for women of childbearing age before or during pregnancy to prevent CHD. In addition, sensitivity analysis based on cohort studies showed the changed evidence levels. Therefore, future SR/MA should concern the sensitivity analysis based on prospective birth cohort studies and case-control studies.

Indexed as

Heart Defects, CongenitalCohort StudiesFemaleHumansMeta-Analysis as TopicPregnancyPregnancy Trimester, FirstProspective StudiesRisk FactorsSystematic Reviews as TopicCongenital heart defectsGrade of evidenceNon-genetic risk factorsUmbrella review

Identifiers

PMID35488214
PMCPMC9055777

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.